Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm
Aiming to address the problem of selecting the parameters of a soil constitutive model in the calculation of foundation pit stability, this paper proposes a hybrid genetic differential evolution algorithm (GADE) which performs by “jumping out of local optima” with “fast convergence” based on the hyb...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/2075-5309/14/11/3665 |
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| author | Lin Long Yunyu Li Peiling Yang Bo Tang |
| author_facet | Lin Long Yunyu Li Peiling Yang Bo Tang |
| author_sort | Lin Long |
| collection | DOAJ |
| description | Aiming to address the problem of selecting the parameters of a soil constitutive model in the calculation of foundation pit stability, this paper proposes a hybrid genetic differential evolution algorithm (GADE) which performs by “jumping out of local optima” with “fast convergence” based on the hybrid optimization algorithm strategy and compares the advantages and disadvantages of genetic algorithms (GAs) and differential evolution algorithms (DEs). Three typical test functions were used to evaluate the search efficiency and convergence speed of GAs, DEs, and GADE, respectively. It was found that GADE has the fastest convergence speed and can search for the global optimal solution to the problem, which highlights its excellent optimization performance. At the same time, taking the Shimao Binjiang deep foundation pit as an example, GADE was used to invert the soil modulus parameters of a CX1 measuring point and construct a finite-element model for calculation. The results showed that the simulated calculation curve and the measured displacement curve were in good agreement and the curve fitting reached 95.05%, indicating the applicability and feasibility of applying GADE to identify soil parameters. |
| format | Article |
| id | doaj-art-297ef3f64d85430e80cd0bf28a48a068 |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-297ef3f64d85430e80cd0bf28a48a0682025-08-20T01:53:52ZengMDPI AGBuildings2075-53092024-11-011411366510.3390/buildings14113665Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution AlgorithmLin Long0Yunyu Li1Peiling Yang2Bo Tang3College of Civil and Construction Engineering, Hunan Institute of Technology, Hengyang 421002, ChinaSchool of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, ChinaNo. 1 High School Shaodong Hunan, Shaodong 422800, ChinaZhongda Intelligent Technology Co., Ltd., Changsha 410036, ChinaAiming to address the problem of selecting the parameters of a soil constitutive model in the calculation of foundation pit stability, this paper proposes a hybrid genetic differential evolution algorithm (GADE) which performs by “jumping out of local optima” with “fast convergence” based on the hybrid optimization algorithm strategy and compares the advantages and disadvantages of genetic algorithms (GAs) and differential evolution algorithms (DEs). Three typical test functions were used to evaluate the search efficiency and convergence speed of GAs, DEs, and GADE, respectively. It was found that GADE has the fastest convergence speed and can search for the global optimal solution to the problem, which highlights its excellent optimization performance. At the same time, taking the Shimao Binjiang deep foundation pit as an example, GADE was used to invert the soil modulus parameters of a CX1 measuring point and construct a finite-element model for calculation. The results showed that the simulated calculation curve and the measured displacement curve were in good agreement and the curve fitting reached 95.05%, indicating the applicability and feasibility of applying GADE to identify soil parameters.https://www.mdpi.com/2075-5309/14/11/3665differential evolutiongenetic algorithmintelligence algorithmconstitutive parametersoil creep |
| spellingShingle | Lin Long Yunyu Li Peiling Yang Bo Tang Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm Buildings differential evolution genetic algorithm intelligence algorithm constitutive parameter soil creep |
| title | Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm |
| title_full | Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm |
| title_fullStr | Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm |
| title_full_unstemmed | Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm |
| title_short | Parameter Identification of a Soil Constitutive Model Based on a Hybrid Genetic Differential Evolution Algorithm |
| title_sort | parameter identification of a soil constitutive model based on a hybrid genetic differential evolution algorithm |
| topic | differential evolution genetic algorithm intelligence algorithm constitutive parameter soil creep |
| url | https://www.mdpi.com/2075-5309/14/11/3665 |
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